Senior Data Scientist — AI-Driven Insights & Global Impact

EPAM Systems Inc; México; Remote; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning access

Volunteer opportunities

Job summary

EPAM Systems Inc in Mexico is seeking a Senior Data Scientist to apply AI and data science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards.

The role involves building analytical models, collaborating with cross-functional partners, evaluating peer deliverables, and coaching junior colleagues.

Qualifications

• At least 3 years of professional data science experience.
• Strong knowledge of AI concepts and modeling tools.
• Excellent Python skills for building models.
• Java experience for data-focused applications.
• Solid foundations in mathematics, statistics, and computer science.

Responsibilities

• Create and implement analytical models aligned with business and technical objectives.
• Collaborate with cross-functional partners to deliver on time and meet quality expectations.
• Document methods and findings to enable long-term knowledge sharing and governance.
• Coach junior colleagues through knowledge sharing that supports their growth.
• Engage stakeholders to define goals and confirm deliverables match expectations.

Skills

Python

Java

Data interpretation

Statistical modeling

Education

Mathematics & Statistics

Computer Science

Tools

AI/ML tools

Job description

EPAM Systems Inc in Mexico is seeking a Senior Data Scientist to apply AI and data science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards.

The role involves building analytical models, collaborating with cross-functional partners, evaluating peer deliverables, and coaching junior colleagues.